Using WRF for Regional Climate Modeling: An Emphasis on the Southeast U.S. for Future Air Quality Jared H. Bowden (UNC) Kevin D. Talgo (UNC) Tanya L. Spero.

Slides:



Advertisements
Similar presentations
Regional climate change over southern South America: evolution of mean climate and extreme events Silvina A. Solman CIMA (CONICET-UBA) Buenos Aires ARGENTINA.
Advertisements

Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Changes in U.S. Regional-Scale Air.
Uganda’s climate: change and variability Prof Chris Reason, UCT & Lead Author, WG1 AR5 Regional circulation and climate Climate variability Long-term projections.
S ENSITIVITIES OF S PECTRAL N UDGING T OWARD M OISTURE FOR R EGIONAL C LIMATE M ODELING Tanya L. Otte 1, Martin J. Otte 1, Jared H. Bowden 2, and Christopher.
Scaling Laws, Scale Invariance, and Climate Prediction
© Crown copyright Met Office Climate Projections over Mainland China under SRES A1B and RCP4.5 Using PRECIS 2.0 Changgui Wang, Richard Jones.
Task: (ECSK06) Regional downscaling Regional modelling with HadGEM3-RA driven by HadGEM2-AO projections National Institute of Meteorological Research (NIMR)/KMA.
Cost-effective dynamical downscaling: An illustration of downscaling CESM with the WRF model Jared H. Bowden and Saravanan Arunachalam 11 th Annual CMAS.
Atmospheric conditions featuring the summer over the WM
Downstream weather impacts associated with atmospheric blocking: Linkage between low-frequency variability and weather extremes Marco L. Carrera, R. W.
Dynamical Downscaling of CCSM Using WRF Yang Gao 1, Joshua S. Fu 1, Yun-Fat Lam 1, John Drake 1, Kate Evans 2 1 University of Tennessee, USA 2 Oak Ridge.
FRONTAL SYSTEMS CLIMATOLOGY OVER SOUTHEASTERN SOUTH AMERICA AND ASSOCIATED ATMOSPHERIC CIRCULATION IN A CLIMATE GCM SIMULATION Iracema FA Cavalcanti Luiz.
The Role Of The Pacific North American Pattern On The Pace Of Future Winter Warming Across Western North America.
Assessment of hailstorms in WRF weather simulations over Switzerland in summer Sensitivity, climatology, comparison with observation data Andrey.
4.1 Map Composites and Climate Anomalies hPa Classification of Map Sub-types: 4.0 RESULTS PART I: Synoptic Composites for Peak Emergence & Map-Pattern.
Impacts of Climate Change on Physical Systems PPT
Chang enefits of educing nthropogenic limate B EN S ANDERSON C LAUDIA T EBALDI B RIAN O’N EILL K IETH O LESON BRACEBRACE When can we expect to see the.
The Science of Climate Change in Hawai‘i Statistical Downscaling of Rainfall Projections for Hawai‘i Asia Room, East-West Center, 1:30-5:00 pm January.
1 Summer 2003 Deviation from mean Based on ECMWF and ERA-40 Color: temperature anomaly Contours: normalized by standard deviation (Schär et al.
The last century of warming…. GISS SAT England et al. [2014] Nature Climate Change.
Explaining Changes in Extreme U.S. Climate Events Gerald A. Meehl Julie Arblaster, Claudia Tebaldi.
Simulations of Floods and Droughts in the Western U.S. Under Climate Change L. Ruby Leung Pacific Northwest National Laboratory US CLIVAR/NCAR ASP Researcher.
Regional Climate Modeling in the Source Region of Yellow River with complex topography using the RegCM3: Model validation Pinhong Hui, Jianping Tang School.
Intensification of Summer Rainfall Variability in the Southeastern United States in Recent Decades Hui Wang 1,2, Wenhong Li 1, and Rong Fu 1,3 1 Georgia.
The speaker took this picture on 11 December, 2012 over the ocean near Japan. 2014/07/29 AOGS 11th Annual Meeting in Sapporo.
Prediction of Future North American Air Quality Gabriele Pfister, Stacy Walters, Mary Barth, Jean-Francois Lamarque, John Wong Atmospheric Chemistry Division,
Dynamical Downscaling Developing a Model Framework for WRF for Future GCM Downscaling Jared H. Bowden Tanya L. Otte June 25, th Annual Meteorological.
Drivers of multidecadal variability in JJA ozone concentrations in the eastern United States Lu Shen, Loretta J. Mickley School of Engineering and Applied.
1 Climate Ensemble Simulations and Projections for Vietnam using PRECIS Model Presented by Hiep Van Nguyen Main contributors: Mai Van Khiem, Tran Thuc,
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Going the Extra Mile in Downscaling:
Precipitation Intensity Climate Impacts Group & Department of Atmospheric Sciences University of Washington Eric Salathé.
Seasonal Moisture Flux Variability over North America in NASA/NSIPP’s AMIP Simulation and Atmospheric Reanalysis By Alfredo Ruiz-Barradas and Sumant Nigam.
Climate change projections for Vietnam from CMIP5 simulations Ramasamy Suppiah 29 November 2012.
Assessing the Impact of Climate Change on Future Wildfire Activity over the Southeast U.S. using Dynamical Downscaling Jared H. Bowden Kevin D. Talgo Uma.
How to link large-scale circulation structures to local extremes ? Frank Selten and Deb Panja Royal Netherlands Meteorological Institute “Extreme Associated.
The European Heat Wave of 2003: A Modeling Study Using the NSIPP-1 AGCM. Global Modeling and Assimilation Office, NASA/GSFC Philip Pegion (1), Siegfried.
Mechanisms of drought in present and future climate Gerald A. Meehl and Aixue Hu.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Using Dynamical Downscaling to Project.
Office of Research and Development National Exposure Research Laboratory, Atmospheric Modeling and Analysis Division Modeling the Health Impacts of Changes.
NARCCAP WRF Simulations L. Ruby Leung Pacific Northwest National Laboratory NARCCAP Users Meeting February , 2008 Boulder, CO.
Northwest European High Summer Climate Variability, the West African Monsoon and the Summer North Atlantic Oscillation Jim Hurrell, NCAR, & Chris Folland,
Applying a standing-travelling wave decomposition to the persistent ridge-trough over North America during winter 2013/14 Oliver Watt-Meyer Paul Kushner.
Importance of chemistry-climate interactions in projections of future air quality Loretta J. Mickley Lu Shen, Daniel H. Cusworth, Xu Yue Earth system models.
Future Projections of Precipitation Characteristics in Asia.
Evaluation of CMAQ Driven by Downscaled Historical Meteorological Fields Karl Seltzer 1, Chris Nolte 2, Tanya Spero 2, Wyat Appel 2, Jia Xing 2 14th Annual.
GCM simulations for West Africa: Validation against observations and projections for future change G.Jenkins, A.Gaye, A. Kamga, A. Adedoyin, A. Garba,
Influences of Regional Climate Change on Air Quality across the Continental U.S. Projected from Downscaling IPCC AR5 Simulations Christopher G. Nolte1.
U.S. Environmental Protection Agency Office of Research and Development Projecting Changes in Climate and Air Quality for the Southeastern U.S. Chris Nolte.
Boulder, June, 2006 Extremes in Ensemble Simulations of the Maunder Minimum: Midlatitude Cyclones, Precipitation, and Wind speed Christoph Raible (1) M.
Using Linked Global and Regional Models to Simulate U.S. Air Quality in the Year 2050 Chris Nolte, Alice Gilliland Atmospheric Sciences Modeling Division,
Class #16 Monday, October 5 Class #16: Monday, October 5 Chapter 7 Global Winds 1.
Anja Westermayer Tomas Pucik Pieter Groenemeijer Eberhard Faust Robert Sausen Statistical modelling of thunderstorms in the present and future climates.
2003 Atlantic Hurricane Season Summary By Gerald Bell, Muthuvel Chelliah Climate Prediction Center NOAA/ NWS And NOAA Atlantic Hurricane forecast team.
Downscaled Regional Climate Information for the Southeastern U.S. Tanya L. Spero 1, Christopher G. Nolte 1, Kiran Alapaty 1, O. Russell Bullock 1, Megan.
Developing Modeling Techniques Applicable for Simulating Future Climate Conditions in the Carolinas Megan Mallard ORISE Postdoctoral Fellow Atmospheric.
Dynamics of the African Heat Low on climate scale R. Roehrig, F. Chauvin, J.-P. Lafore Météo-France, CNRM-GAME ENSEMBLES RT3 Working Meeting 10 February.
Cécile Hannay, Julio Bacmeister, Rich Neale, John Truesdale, Kevin Reed, and Andrew Gettelman. National Center for Atmospheric Research, Boulder EGU Meeting,
Stephany Taylor1,2, Tanya Spero1 and Megan Mallard1
Does nudging squelch the extremes in regional climate modeling?
Tanya L. Spero1, Megan S. Mallard1, Stephany M
University Allied Workshop (1-3 July, 2008)
9th Annual Meteorological Users’ Meeting
Regional Climate Model Projections Update
Daylength Local Mesoscale Winds Chinook Winds (Foehn) Loma, MT: January 15, 1972, the temperature rose from -54 to 49°F (-48 to 9°C), a 103°F (58°C)
C. Nolte, T. Spero, P. Dolwick, B. Henderson, R. Pinder
The Experimental Climate Prediction Center Regional Spectral Model (ECPC-RSM) Contribution to the North American Regional Climate Change Assessment Program.
Precipitation variability over Arizona and
1 GFDL-NOAA, 2 Princeton University, 3 BSC, 4 Cerfacs, 5 UCAR
An Assessment of Historical and Future Hydro-Climatic Extremes Over Key Watersheds Within Western Canada Barrie Bonsal1 and Charles Cuell2 1Environment.
Relative impacts of mitigation, temperature, and precipitation on 21st-century megadrought risk in the American Southwest by Toby R. Ault, Justin S. Mankin,
Presentation transcript:

Using WRF for Regional Climate Modeling: An Emphasis on the Southeast U.S. for Future Air Quality Jared H. Bowden (UNC) Kevin D. Talgo (UNC) Tanya L. Spero (EPA) Christopher G. Nolte (EPA) Megan Mallard (UNC) CMAS Conference October 7,

Motivation North Atlantic Subtropical High (NASH) JGR, 2013 NCEP-DOE Reanalysis Position of NASH National Climate Assessment 2

Projected Shift in the NASH Li et al., JGR (2013) Probability of Occurrence of Ridge Type CMIP5 ENSEMBLE DRY WET Precipitation Rate (mm/day) Historical Future 3 NASH Location Year (JJA Average)

NASH Shift on Future Air Quality Mid-Century Westward shift impact on Air Quality – Stagnation Days (Horton et al – Nature Climate Change) Daily-mean 10-m wind speeds are < 3.2 m/s Daily-mean 500hPa wind speeds are < 13 m/s Daily-mean precipitation accumulation is < 1mm Use dynamical downscaling to assess regional change for the Southeast for change in maximum temperature and stagnation days Horton et al. (2014) – Occurrence and persistence of future atmospheric stagnation events, Nature Climate Change 4

WRF Simulations “towards the development of an ensemble” HistoricalRCP 4.5RCP 6.0RCP 8.5 CESM ( ) CESM ( ) CESM ( ) CESM ( ) ModelE2 ( ) ModelE2 ( ) CM3 ( ) CM3 ( ) 5

WEST (W) EAST (E) NEUTRAL (N) Westward Extent of the NASH JJA Average 850hPa Geopotential Height Dynamic Contribution Only CESM Climatology ( ) CESM One Future Year 6

CESM - NASH Westward Extent - JJA Decadal Average average average average RCP4.5 W – 58% years ( ) WEST of normal N – 13% years ( ) NEUTRAL E – 29% years ( ) EAST of normal RCP8.5 W – 51% N – 23% E – 26% RCP6.0 W – 65% N – 23% E – 13%

average average average W – 77% years ( ) WEST of normal N – 23% years ( ) NEUTRAL E – 0% years ( ) EAST of normal CM3 - NASH Westward Extent - JJA Decadal Average for RCP

CESM Change in Stagnation Days – JJA 45% NASH Years West 50% NASH Years West 90% NASH Years West 55% NASH Years West 50% NASH Years West 27% NASH Years West 50% NASH Years West 90% NASH Years West RCP4.5 RCP6.0 RCP % NASH Years West 9

CESM RCP (JJA) CESM RCP (JJA) Change in # Stagnation Days Change in # days with 10m Winds < 3.2 m/s Change in # days with 500 hPa Winds < 13 m/s Change in # days with Precip. < 1 mm Change in # Stagnation Days Change in # days with 10m Winds < 3.2 m/s Change in # days with 500 hPa Winds < 13 m/s Change in # days with Precip. < 1 mm 27% NASH WEST 90% NASH WEST 10

45% NASH Years West 80% NASH Years West 90% NASH Years West CM3-RCP8.5 Change in Stagnation Days – JJA

Change in # Stagnation Days Change in # days with 10m Winds < 3.2 m/s Change in # days with 500 hPa Winds < 13 m/s Change in # days with Precip. < 1 mm CM3 RCP (JJA) 90% NASH Years West 12

Conclusions NASH is projected to shift westward and seen in all ensemble members (despite decadal variability and scenario sensitivity). – By mid-century CESM and CM3 ensemble members show between 50% to 90% of the summer seasons will have an average position west of its climatological position. The impact of the westward shift in the NASH shift for stagnation reveals – Very large uncertainty regarding NASH location and stagnation days with respect to the GCM – Westward shift for CESM reveals a decrease in the number of stagnation days – Westward shift for CM3 reveals an increase in the number of stagnation days – The largest differences between CESM members and CM3 for stagnation is the projected change in the number of days with light winds. – All simulations tend to agree on favorable wind conditions aloft (lighter winds in the future) 13

Extra Material for maximum temperature in following slides 14

NASH position and projected maximum temperatures CESM RCP

NASH position and projected maximum temperatures CM3 RCP